title: Cortical surface reconstruction based on MEG data and spherical harmonics.
abstract: Estimates of coefficients of a spherical harmonic Fourier decomposition of the cortical surface can be obtained solely using MEG/EEG data and free energy as objective function. A stochastic methodology based on a Metropolis Search followed by a Bayesian Model Averaging is proposed to reconstruct cortical anatomy based functional information.
authors.forename: Jose D
authors.initials: JD
authors.lastname: Lopez
authors.forename: Luzia
authors.initials: L
authors.lastname: Troebinger
authors.forename: Will
authors.initials: W
authors.lastname: Penny
authors.forename: Jairo J
authors.initials: JJ
authors.lastname: Espinosa
authors.forename: Gareth R
authors.initials: GR
authors.lastname: Barnes
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D003198:Computer Simulation; D004569:Electroencephalography; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D015225:Magnetoencephalography / Q000379:methods; D008962:Models, Theoretical; D059629:Signal-To-Noise Ratio; D013269:Stochastic Processes